@inproceedings{3abfec5630ff451dbe25020a68627192,
title = "Structured GANs",
abstract = "We present Generative Adversarial Networks (GANs), in which the symmetric property of the generated images is controlled. This is obtained through the generator network's architecture, while the training procedure and the loss remain the same. The symmetric GANs are applied to face image synthesis in order to generate novel faces with a varying amount of symmetry. We also present an unsupervised face rotation capability, which is based on the novel notion of one-shot fine tuning.",
author = "Irad Peleg and Lior Wolf",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; null ; Conference date: 12-03-2018 Through 15-03-2018",
year = "2018",
month = may,
day = "3",
doi = "10.1109/WACV.2018.00084",
language = "אנגלית",
series = "Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "719--728",
booktitle = "Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018",
address = "ארצות הברית",
}